Product Manager, Optimizer
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Job Description
Product Manager shaping Timely’s AI-powered school scheduling optimizer. Defining algorithmic product strategy, experiments, metrics, and scheduler experiences for K12 education.
Responsibilities:
- Engage with customers to understand opportunities to generate better K12 school schedules
- Dive into optimizer technology and the scheduling domain to facilitate critical decisions with Engineering
- Partner with Engineering to improve optimizer core algorithms, model-builders, and orchestration pipeline
- Design and execute experiments testing optimizer changes
- Define performance and quality metrics such as feasibility rate, schedule quality scores, solve time, and constraint violations
- Craft optimizer product requirements and refine new product features
- Work with Engineering and AI agents to break requirements into well-defined stories
- Leverage AI to connect requirements, story definition, and development workflows
- Develop and implement a vision for generative AI in algorithmic schedule optimization
- Own the end-to-end experience for school schedulers interacting with the optimizer
- Communicate results, tradeoffs, and infeasible or sub-optimal solutions
- Drive goal- and metric-setting processes with Engineering
- Set and adjust milestones, maintain standards, and focus the team on impact
- Communicate product and technology decisions to internal and external stakeholders
Requirements:
- 4+ years in B2B SaaS product organizations
- At least 3 years as a Product Manager
- Experience working on products with an algorithmic, decision-support, or operations research core
- Strong data analysis and metric design skills
- Ability to design experiments and interpret their results
- Strong user-centric story writing
- Mastery of agile toolsets such as Jira, Notion, and Miro
- Demonstrated experience using AI-enabled SDLC practices
- Collaborative, detail-oriented problem solver
- Visual communication skills using mockups, sketches, diagrams, or journey maps
- Nice-to-have: background in EdTech and/or education sector
- Nice-to-have: experience with optimization, decision-support systems, constraint satisfaction, or algorithmic products
- Nice-to-have: familiarity with A/B testing or experimentation frameworks
- Nice-to-have: background in operations research or a technical discipline
- Must address whether United States work authorization sponsorship will be required
Benefits:
- Health and dental insurance
- Parental leave
- 401(k)
- Unlimited PTO
- Access to coworking
- Equity in a fast-growing, successful startup
- Work with an exceptional team tackling meaningful challenges in education
- Be part of a growing, financially healthy company with a proven product
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